| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/ZhangK19 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTZ324 |
| P932 | PMC publication ID | 6612887 |
| P698 | PubMed publication ID | 31510679 |
| P50 | author | Lukasz Kurgan | Q39632517 |
| P2093 | author name string | Jian Zhang | |
| P2860 | cites work | The Protein Data Bank | Q24515306 |
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| A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites. | Q40461146 | ||
| Molecular modeling and computational analyses suggests that the Sinorhizobium meliloti periplasmic regulator protein ExoR adopts a superhelical fold and is controlled by a unique mechanism of proteolysis | Q41708867 | ||
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| Improving the prediction of yeast protein function using weighted protein-protein interactions | Q42064841 | ||
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| DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues | Q42237296 | ||
| Prediction of Protein-Protein Interaction Sites Based on Naive Bayes Classifier | Q42648656 | ||
| Improved prediction of protein binding sites from sequences using genetic algorithm | Q43881326 | ||
| mentha: a resource for browsing integrated protein-interaction networks | Q44046620 | ||
| Disordered nucleiome: Abundance of intrinsic disorder in the DNA- and RNA-binding proteins in 1121 species from Eukaryota, Bacteria and Archaea | Q45030697 | ||
| Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind | Q45046029 | ||
| Sequence-based prediction of protein-peptide binding sites using support vector machine. | Q45952227 | ||
| Prediction-based fingerprints of protein-protein interactions. | Q45965622 | ||
| P275 | copyright license | Creative Commons Attribution-NonCommercial 4.0 International | Q34179348 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 14 | |
| P304 | page(s) | i343-i353 | |
| P577 | publication date | 2019-07-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences | |
| P478 | volume | 35 |
| Q99604815 | Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type |
| Q90694841 | Developing Computational Model to Predict Protein-Protein Interaction Sites Based on the XGBoost Algorithm |
| Q111520698 | EGRET: edge aggregated graph attention networks and transfer learning improve protein–protein interaction site prediction |
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